Graduate (List)

The goal of this course is to provide the theoretical and technical basis required to design and implement speech recognition algorithms or systems. The topics include acoustic-phonetic characterization, speech processing techniques for speech recognition, pattern comparison techniques, theory and implementation of HMMs, searching techniques for continuous speech recognition, and other related implementation issues. (Prerequisite: EE432)

This course discusses cognitive information processing mechanism in our brain and computational models for human-like cognitive systems. We will first discuss neural data representation and move to the models of perception, attention, socialization, memory, learning, reasoning, and problem-solving.

This course is designed for introducing ray analysis to analyze electromagnetic scattering problems. As one of the ray analyses, GTD (Geometrical Theory of Diffraction) is explained and employed to solve various electromagnetic scattering problems.

This course is designed to provide fundamental principles of EMI / EMC with numerous design practices of high-performance circuit, module, and system to meet EMI / EMC compliant specifications.
(Prerequisite: EE204, EE304)

This course covers many facets of the topic of high-resolution radar, including basic principles, radar systems, Doppler radar, polarimetric radar, and spaceborne radar, and Synthetic Aperture Radar.

This is an advanced course on coding theory, which is a sequel to EE621. We continue with more in-depth treatment of LDPC and turbo codes followed by some recent developments in coding theory including rateless codes and dirty paper coding. Topics covered are: codes on graphs, message-passing, irregular LDPC code ensembles, density evolution, concentration theorem, stability condition, thresholds, capacity-achieving sequences for BEC, EXIT chart, EXIT function and area theorem, multi-edge type LDPC codes, LDGM, rateless, LT, and Raptor codes, efficient encoding for LDPC codes, Code design in Euclidean space, coding and shaping gains, lattice strategies for coding, dirty paper coding.

This course covers advanced topics in information theory, especially, multiuser information theory and network information theory.

This course is designed to lecture nonlinear optical phenomena in optical fiber and their applications including effects on optical communications. The course will start with general concepts of nonlinear optics and wave propagation in an optical fiber.

This course provides a broad introduction to optical networks. We review the fundamentals of optical communication technologies, the optical circuit and packet network technologies, and all optical packet switching networking. Topics include optical fiber system, optical networking technologies, PON, WDM networking, IP over WDM, OPS/OBS, and optical layer management technologies. (Prerequisite: EE441, EE520, EE527)

This course will cover advanced device physics of MOSFETs and their ultimate scaling. Recent trends such as a new device structure and a new material will be introduced, and various types of memory devices as an example of detailed applications are also covered. Through a depth of study in quantum effects, reliability issues, and modeling, this course can provide core knowledge of next device technologies and a chance to explore new applications. (Prerequisite: EE362, EE561)